text-to-video
6 articles tagged with text-to-video
Alibaba Launches Wan3.0, Generating AI Videos Up to 30 Seconds From Text, Images, and Documents
Alibaba's Wan3.0 video generation model is now in beta, producing clips up to 30 seconds long and accepting text, images, video, audio, and documents like PDFs and PowerPoint files as input. Pricing runs per second of output across two tiers and three resolutions.
Lightricks Releases LTX-2.5, a 22B-Parameter Open-Weight Video and Audio World Model
Lightricks has released LTX-2.5, an open-weight world model that generates synchronized video and audio from text, image, and video inputs. The 22B-parameter model adds native multishot generation, a new diffusion video decoder, and a custom Gemma4 12B text encoder.
Black Forest Labs Launches FLUX 3 Video, Claims It Beats Seedance 2.0 on Elo Rankings
Black Forest Labs has made FLUX 3 Video generally available via its API, offering up to 20-second HD/Full HD clips with native audio and lip-sync in 14+ languages. The company claims its internal Elo benchmarks put the model ahead of Seedance 2.0, Gemini Omni Flash, and Minimax H3.
Black Forest Labs Announces FLUX 3 Video, First Details Cover Generation Capabilities
Black Forest Labs has published the first part of its FLUX 3 Video release notes, focused on the model's generation capabilities. Full technical specifications, pricing, and benchmark data have not yet been disclosed.
ByteDance's Seedance 2.5 Generates 30-Second AI Video Clips With Synced Audio
ByteDance released Seedance 2.5, an AI video model that generates synchronized video and audio in a single pass, producing clips up to 30 seconds long that can be extended further. That's roughly triple the length of Google's Gemini Omni Flash.
ByteDance releases Lance, 3B-parameter unified multimodal model handling image and video generation, editing, and unders
ByteDance has released Lance, a 3-billion parameter multimodal model that performs image and video generation, editing, and understanding within a single framework. The model was trained entirely from scratch using 128 A100 GPUs and achieves 84.67% on DPG-Bench and 74% on GenEval, competing with larger models despite its compact size.